requirement.txt

LoadNetworkx_20230210-1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {

LoadNetworkx_20230210-1.py

@@ -0,0 +1,28 @@
+# %%
+import pandas as pd
+import networkx as nx
+import matplotlib.pyplot as plt
+
+plt.rcParams['font.sans-serif'] = 'SimHei'
+
+BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
+BomNodes.set_index('Code', inplace=True)
+BomCateNet = pd.read_csv('BomCateNet.csv', index_col=0)
+BomCateNet.fillna(0, inplace=True)
+
+G = nx.from_pandas_adjacency(BomCateNet, create_using=nx.MultiDiGraph())
+
+labels_dict = {}
+for code in G.nodes:
+    labels_dict[code] = BomNodes.loc[code].to_dict()
+nx.set_node_attributes(G, labels_dict)
+
+pos = nx.nx_agraph.graphviz_layout(G, prog="twopi", args="")
+node_labels = nx.get_node_attributes(G, 'Name')
+plt.figure(figsize=(12, 12), dpi=300)
+nx.draw_networkx_nodes(G, pos)
+nx.draw_networkx_edges(G, pos)
+nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=6)
+plt.show()
+
+# %%

requirements.txt

@@ -0,0 +1,9 @@
+agentpy==0.1.5
+matplotlib==3.3.4
+matplotlib-inline==0.1.6
+networkx==2.5
+numpy==1.20.3
+numpydoc==1.1.0
+pandas==1.4.1
+pandas-stubs==1.2.0.39
+pygraphviz==1.9